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Computer Science “Python” Code 083 Class 11, new Curriculum, Syllabus for the Academic Year 2019-20

Computer Science (New)
CLASS-XI (Code No. 083)

Learning Outcomes:

1. Ability to understand basic computational thinking.

2. Ability to understand the notion of data types, data structures.

3. Ability to appreciate the notion of an algorithm, and understand its structure,
including how algorithms handle corner cases.

4. Ability to develop a basic understanding of computer systems – architecture,
OS, mobile and cloud computing.

5. Ability to learn basic SQL programming.

6. Ability to learn all about cyber safety.

Distribution of Marks and Periods:


Unit 1: Computer Systems and Organisation

 Basic computer organisation: description of a computer system and mobile
system, CPU, memory, hard disk, I/O, battery.

 Types of software: application, System, utility.

 Memory Units: bit, byte, MB, GB, TB, and PB.

 Boolean logic: OR, AND, NAND, NOR, XOR, NOT, truth tables, De Morgan’s laws

 Information representation: numbers in base 2, 8, 16, binary addition

 Strings: ASCII, UTF8, UTF32, ISCII (Indian script code), Unicode

 Basic concepts of Flowchart

 Concept of Compiler & Interpreter

 Running a program: Notion of an operating system, how an operating system
runs a program, idea of loading, operating system as a resource manager.

 Concept of cloud computing, cloud (public/private), introduction to parallel

Unit 2: Computational Thinking and Programming

Basics of Computational Thinking: Decomposition, Pattern Recognition/ Data
representation, Generalization/ Data Abstraction and algorithm.

Familiarization with the basics of Python programming: a simple “hello world”
program, process of writing a program (Interactive & Script mode), running it, and print
statements; simple data-types: integer, float, string

 Features of Python, Python Character Set, Token & Identifiers, Keywords,
Literals, Delimiters, operators.

 Comments: (Single line & Multiline/ Continuation statements), Clarity &
Simplification of expression.

 Introduce the notion of a variable, and methods to manipulate it (concept of L value and R-value even if not taught explicitly).

 Knowledge of data types and operators: accepting input from the console,
assignment statement,expressions, operators and their precedence.

 Operators & types: Binary operators-Arithmetic, Relational operators, Logical
Operators, Augmented Assignment operators.

 Conditional statements: if, if-else, if-elif-else; simple programs: e.g.: absolute
value, sort 3 numbers,and divisibility.

 Notion of iterative computation and control flow: for(range(),len()), while,
flowcharts, suggested programs: interest calculation and factorials, etc.

 Idea of debugging: errors and exceptions; debugging: pdb, break points.

 Lists, tuples and dictionary: finding the maximum, minimum, mean; linear
search on list/tuple of numbers, and counting the frequency of elements in a list
using a dictionary. Introduce the notion of accessing elements in a collection
using numbers and names.

 Sorting algorithm: bubble and insertion sort;count the number of operations
while sorting.

 Strings: Traversing, compare, concat, substring.

 Introduction to Python modules: Importing math (sqrt, cell, floor, pow, fabs, sin,
cos, tan, random (random, randint, randrange), statistics (mean, median,
mode) modules.

Unit 3: Data Management

 Relational databases: Concept of a database, relations, attributes and tuples,
keys- candidate key, primary key, alternate key, foreign key;Degree and
cardinality of a table.

TABLE, keys, and foreign keys; to view content of a table: SELECT-FROMWHERE-ORDER BY alongwith BETWEEN, IN, LIKE, (Queries only on single

 Aggregate functions – MIN,MAX,AVG,COUNT,SUM

 Basics of NoSQL databases.

Unit 4: Society, Law and Ethics – Cyber safety

 Cyber safety: safely browsing the web, identity protection, confidentiality,
social networks, cyber trollsand bullying

 Appropriate usage of social networks: spread of rumours, and common social
networking sites (Twitter, LinkedIn, and Facebook) and specific usage rules.

 Safely accessing web sites: adware, malware, viruses, Trojans

 Safely communicating data: secure connections, eavesdropping, phishing and
identity verification.



1. Programming in Python: At least the following Python concepts should be
covered in the labsessions: expressions, conditionals, loops, list, dictionary,
and strings. The following are some representative lab assignments.

 Find the largest and smallest numbers in a list.

 Find the third largest number in a list.

 Test for primarily.

 Find whether a string is a palindrome or not.

 Given two integers xand n, compute x n

 Compute the greatest common divisor and the least common multiple of two

 Test if a number is equal to the sum of the cubes of its digits. Find the smallest
and largest suchnumbers.

2. Data Management: SQL Commands At least the following SQL commands
should be coveredduring the labs: create, insert, delete, select, and join. The
following are some representative assignments.

 Create a student table with the student id, name, and marks as attributes
where the student idis the primary key.

 Insert the details of a new student in the above table.

 Delete the details of a particular student in the above table.

 Use the select command to get the details of the students with marks more
than 80.

 Create a new table (name, date of birth) by joining two tables (student id,
name) and (studentid, date of birth).

 Create a new table (order ID, customer Name, and order Date) by joining two
tables (order ID, customer ID,and order Date) and (customer ID, customer
Name, contact Name, country).


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  1. raghav says:


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